“ We are entering an era when the compute infrastructure , amount of data , and the algorithms are all coalescing so we can get to knowledge and wisdom at scale . I think that justifies saying that we ’ re entering a new era — the data era .”
control and optimization . Then there are public clouds , which give you aggregation at an industry level .
Edge is the newest layer , and it offers a place where you can push some of your processing and analytics capabilities out to the physical location of the people and devices you interact with in real time . There are two advantages of doing this . bandwidth — it takes a lot of time , energy , and money to move huge quantities of data back and forth across the internet . The edge gives you the ability to run the analytics locally so that you don ’ t have an urgency to move all the data into the cloud or into a private data center . You might eventually move the data , but you don ’ t have to move it in a priority manner that costs a lot of money .
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What are those advantages ? First , because the compute and analytics are close to where the users are , the speed-oflight issue that we have when we move data over distance is no longer an issue . You can operate and make decisions in real time . This is incredibly important for things like autonomous vehicles and their ability to react to their environment . But there are several use cases — in factories , healthcare , gaming — where the goal is , first and foremost , to do things quickly and not have the latency of crossing the internet involved in the real-time service .
The other advantage to the edge is — as much as we think the internet has infinite
There ’ s a lot of hype around AI , both positive and negative . Where do you see AI having the greatest impact ? I ’ m very bullish on machine intelligence . I believe we can ’ t progress without sharing the burden of thinking tasks with machines , and AI is a set of tools that allows us to do that .
Largely today , we don ’ t use machines to do thinking tasks . We store data . We process data . But the actual empirical decision almost always happens at a human level . As we look at the world today , there are so many things that , quite frankly , are incredibly inefficient and would improve if machines were to take over more of that responsibility .
DELL TECHNOLOGIES | REALIZE